Project wise analysis included in trend analyzer
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57dd62d790
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1979ad0586
@ -5,7 +5,7 @@ report.customize_filters = function() {
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this.add_filter({fieldname:'period', label:'Period', fieldtype:'Select', options:'Monthly'+NEWLINE+'Quarterly'+NEWLINE+'Half Yearly'+NEWLINE+'Annual',report_default:'Quarterly',ignore : 1, parent:'Profile',in_first_page:1,single_select:1});
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this.add_filter({fieldname:'based_on', label:'Based On', fieldtype:'Select', options:'Item'+NEWLINE+'Item Group'+NEWLINE+'Customer'+NEWLINE+'Customer Group'+NEWLINE+'Territory'+NEWLINE+'Supplier'+NEWLINE+'Supplier Type', ignore : 1, parent:'Profile', report_default:'Item', in_first_page : 1,single_select:1});
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this.add_filter({fieldname:'based_on', label:'Based On', fieldtype:'Select', options:'Item'+NEWLINE+'Item Group'+NEWLINE+'Customer'+NEWLINE+'Customer Group'+NEWLINE+'Territory'+NEWLINE+'Supplier'+NEWLINE+'Supplier Type'+NEWLINE+'Project', ignore : 1, parent:'Profile', report_default:'Item', in_first_page : 1,single_select:1});
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this.add_filter({fieldname:'group_by', label:'Group By', fieldtype:'Select', options:NEWLINE+'Item'+NEWLINE+'Customer'+NEWLINE+'Supplier', ignore : 1, parent:'Profile',single_select:1});
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@ -24,6 +24,7 @@ report.customize_filters = function() {
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this.add_filter({fieldname:'territory', label:'Territory', fieldtype:'Link', options:'Territory', ignore : 1, parent:'Profile'});
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this.add_filter({fieldname:'supplier', label:'Supplier', fieldtype:'Link', options:'Supplier', ignore : 1, parent:'Profile'});
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this.add_filter({fieldname:'supplier_type', label:'Supplier Type', fieldtype:'Link', options:'Supplier Type', ignore : 1, parent:'Profile'});
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this.add_filter({fieldname:'project', label:'Project', fieldtype:'Link', options:'Project', ignore : 1, parent:'Profile'});
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}
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@ -99,6 +100,10 @@ report.get_query = function() {
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add_cond += ' AND t1.supplier = t3.name';
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if(supp_type) add_cond += ' AND t1.supplier_type = "'+supp_type+'"';
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break;
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case 'Project' : pro = this.get_filter('Profile', 'Project').get_value();
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col = 'DISTINCT t1.project_name';
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if(pro) add_cond += ' AND t1.project_name = "'+pro+'"';
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break;
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case 'Item Group' : ig = this.get_filter('Profile', 'Item Group').get_value();
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if(ig) sp_cond += ' AND parent.name = "'+ig+'"';
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break;
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@ -108,10 +113,11 @@ report.get_query = function() {
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case 'Territory' : ter = this.get_filter('Profile', 'Territory').get_value();
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if(ter) sp_cond += ' AND parent.name = "'+ter+'"';
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break;
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}
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if(based_on == 'Item' || based_on == 'Customer' || based_on == 'Supplier' || based_on == 'Supplier Type')
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if(based_on == 'Item' || based_on == 'Customer' || based_on == 'Supplier' || based_on == 'Supplier Type' || based_on == 'Project')
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var q ='SELECT '+col+' FROM `tab'+trans+'` t1, `tab'+trans_det+'` t2 '+add_tables+' WHERE t1.fiscal_year = "'+fiscal_year+'" and t1.company = "'+company+'" and t2.parent = t1.name '+add_cond;
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else
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var q = 'SELECT CONCAT(REPEAT(" ", COUNT(parent.name) - 1), node.name) AS "Name" FROM `tab'+based_on+'` node,`tab'+based_on+'` parent WHERE node.lft BETWEEN parent.lft and parent.rgt and node.docstatus !=2 '+sp_cond+' GROUP BY node.name ORDER BY node.lft';
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@ -17,7 +17,7 @@ customer_group = filter_values.get('customer_group')
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territory = filter_values.get('territory')
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supplier = filter_values.get('supplier')
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supplier_type = filter_values.get('supplier_type')
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project = filter_values.get('project')
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# ********************************************* SET DEFAULTS **************************************************
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@ -41,41 +41,41 @@ col_names.append('Total (Amt)')
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# ********************************************* VALIDATIONS ***************************************************
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if (based_on in ['Customer','Customer Group','Territory'] and group_by == 'Supplier') or (based_on in ['Supplier','Supplier Type'] and group_by == 'Customer'):
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msgprint("Sorry! You cannot group Trend Analyzer based on %s by %s" % (based_on,group_by))
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raise Exception
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msgprint("Sorry! You cannot group Trend Analyzer based on %s by %s" % (based_on,group_by))
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raise Exception
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if based_on == group_by:
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msgprint("Based On and Group By value cannot be same for Trend Analyzer")
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raise Exception
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msgprint("Based On and Group By value cannot be same for Trend Analyzer")
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raise Exception
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# ********************************************** ADD COLUMNS **********************************************
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cols = [[based_on, 'Data', '300px', '']]
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cr = 1
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if based_on == 'Item':
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cols.append(['Item Name','Data','200px',''])
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cr = 2
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cols.append(['Item Name','Data','200px',''])
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cr = 2
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elif based_on == 'Customer':
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cols.append(['Territory','Link','150px','Territory'])
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cr = 2
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cols.append(['Territory','Link','150px','Territory'])
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cr = 2
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elif based_on == 'Supplier':
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cols.append(['Supplier Type','Link','150px','Supplier Type'])
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cr = 2
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cols.append(['Supplier Type','Link','150px','Supplier Type'])
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cr = 2
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if group_by:
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cr += 1
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cr += 1
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if group_by:
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cols.append([group_by,'Data','150px',''])
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cols.append([group_by,'Data','150px',''])
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for c in col_names:
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cols.append([c,'Currency','150px',''])
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cols.append([c,'Currency','150px',''])
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for c in cols:
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colnames.append(c[0])
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coltypes.append(c[1])
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colwidths.append(c[2])
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coloptions.append(c[3])
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col_idx[c[0]] = len(colnames)-1
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colnames.append(c[0])
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coltypes.append(c[1])
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colwidths.append(c[2])
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coloptions.append(c[3])
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col_idx[c[0]] = len(colnames)-1
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# ******************************************* ADDITIONAL CONDITION ************************************************
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@ -86,75 +86,78 @@ if order_type: add_cond += ' AND t1.order_type = "%s"' % order_type
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# Item
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if item or based_on == 'Item':
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add_cond += ' AND t2.item_code = "%s"' % (based_on != 'Item' and item or '%(value)s')
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add_cond += ' AND t2.item_code = "%s"' % (based_on != 'Item' and item or '%(value)s')
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# Item Group
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if item_group or based_on == 'Item Group':
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add_tab += ' ,`tabItem` t3, `tabItem Group` t4 '
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add_cond += ' AND t3.name = t2.item_code AND t3.item_group = t4.name and (t4.name = "%s" or t4.name IN (SELECT t5.name FROM `tabItem Group` t5,`tabItem Group` t6 WHERE t5.lft BETWEEN t6.lft and t6.rgt and t5.docstatus !=2 and ifnull(t5.is_group,"No") = "No" and t6.name = "%s"))' % (based_on != 'Item Group' and item_group or '%(value)s', based_on != 'Item Group' and item_group or '%(value)s')
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add_tab += ' ,`tabItem` t3, `tabItem Group` t4 '
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add_cond += ' AND t3.name = t2.item_code AND t3.item_group = t4.name and (t4.name = "%s" or t4.name IN (SELECT t5.name FROM `tabItem Group` t5,`tabItem Group` t6 WHERE t5.lft BETWEEN t6.lft and t6.rgt and t5.docstatus !=2 and ifnull(t5.is_group,"No") = "No" and t6.name = "%s"))' % (based_on != 'Item Group' and item_group or '%(value)s', based_on != 'Item Group' and item_group or '%(value)s')
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# Customer
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if customer or based_on == 'Customer':
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add_cond += ' AND t1.customer = "%s"' % (based_on != 'Customer' and customer or '%(value)s')
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add_cond += ' AND t1.customer = "%s"' % (based_on != 'Customer' and customer or '%(value)s')
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# Customer Group
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if customer_group or based_on == 'Customer Group':
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add_tab += ' ,`tabCustomer` t7, `tabCustomer Group` t8 '
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add_cond += ' AND t7.name = t1.customer AND t7.customer_group = t8.name and (t8.name = "%s" or t8.name IN (SELECT t9.name FROM `tabCustomer Group` t9,`tabCustomer Group` t10 WHERE t9.lft BETWEEN t10.lft and t10.rgt and t9.docstatus !=2 and ifnull(t9.is_group,"No") = "No" and t10.name = "%s"))' % (based_on != 'Customer Group' and customer_group or '%(value)s', based_on != 'Customer Group' and customer_group or '%(value)s')
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add_tab += ' ,`tabCustomer` t7, `tabCustomer Group` t8 '
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add_cond += ' AND t7.name = t1.customer AND t7.customer_group = t8.name and (t8.name = "%s" or t8.name IN (SELECT t9.name FROM `tabCustomer Group` t9,`tabCustomer Group` t10 WHERE t9.lft BETWEEN t10.lft and t10.rgt and t9.docstatus !=2 and ifnull(t9.is_group,"No") = "No" and t10.name = "%s"))' % (based_on != 'Customer Group' and customer_group or '%(value)s', based_on != 'Customer Group' and customer_group or '%(value)s')
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# Territory
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if territory or based_on == 'Territory':
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add_tab += ' ,`tabTerritory` t11 '
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add_cond += ' AND t1.territory = t11.name AND t1.territory = t11.name and (t11.name = "%s" or t11.name IN (SELECT t12.name FROM `tabTerritory` t12,`tabTerritory` t13 WHERE t12.lft BETWEEN t13.lft and t13.rgt and t12.docstatus !=2 and ifnull(t12.is_group,"No") = "No" and t13.name = "%s"))' % (based_on != 'Territory' and territory or '%(value)s', based_on != 'Territory' and territory or '%(value)s')
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add_tab += ' ,`tabTerritory` t11 '
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add_cond += ' AND t1.territory = t11.name AND t1.territory = t11.name and (t11.name = "%s" or t11.name IN (SELECT t12.name FROM `tabTerritory` t12,`tabTerritory` t13 WHERE t12.lft BETWEEN t13.lft and t13.rgt and t12.docstatus !=2 and ifnull(t12.is_group,"No") = "No" and t13.name = "%s"))' % (based_on != 'Territory' and territory or '%(value)s', based_on != 'Territory' and territory or '%(value)s')
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# Supplier
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if supplier or based_on == 'Supplier':
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add_cond += ' AND t1.supplier = "%s"' % (based_on != 'Supplier' and supplier or '%(value)s')
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add_cond += ' AND t1.supplier = "%s"' % (based_on != 'Supplier' and supplier or '%(value)s')
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# Supplier Type
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if supplier_type or based_on == 'Supplier Type':
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add_tab += ' ,`tabSupplier` t14, `tabSupplier Type` t15 '
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add_cond += ' AND t14.name = t1.supplier AND t14.supplier_type = t15.name and t15.name = "%s"' % (based_on != 'Supplier Type' and supplier_type or '%(value)s')
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add_tab += ' ,`tabSupplier` t14, `tabSupplier Type` t15 '
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add_cond += ' AND t14.name = t1.supplier AND t14.supplier_type = t15.name and t15.name = "%s"' % (based_on != 'Supplier Type' and supplier_type or '%(value)s')
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# Project
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if project or based_on == 'Project':
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add_cond += ' AND t1.project_name = "%s"' % (based_on != 'Project' and project or '%(value)s')
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# Column to be seleted for group by condition
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# ==============================================
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sel_col = ''
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if group_by == 'Item':
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sel_col = 't2.item_code'
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sel_col = 't2.item_code'
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elif group_by == 'Customer':
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sel_col = 't1.customer'
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sel_col = 't1.customer'
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elif group_by == 'Supplier':
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sel_col = 't1.supplier'
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sel_col = 't1.supplier'
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# ********************************************** Result Set ************************************************
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for r in res:
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main_det = sql("SELECT %s FROM %s WHERE %s" % (query_val, add_tab, add_cond % {'value':cstr(r[col_idx[based_on]]).strip()}))
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if group_by:
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for col in range(cr,cr+1): # this would make all first row blank. just for look
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r.append('')
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if main_det[0][len(colnames) - cr - 1]:
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for d in range(len(colnames) - cr):
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r.append(flt(main_det[0][d]))
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out.append(r)
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if group_by:
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flag = 1
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# check for root nodes
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if based_on in ['Item Group','Customer Group','Territory']:
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is_grp = sql("select is_group from `tab%s` where name = '%s'" % (based_on, cstr(r[col_idx[based_on]]).strip()))
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is_grp = is_grp and cstr(is_grp[0][0]) or ''
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if is_grp != 'No':
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flag = 0
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main_det = sql("SELECT %s FROM %s WHERE %s" % (query_val, add_tab, add_cond % {'value':cstr(r[col_idx[based_on]]).strip()}))
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if group_by:
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for col in range(cr,cr+1): # this would make all first row blank. just for look
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r.append('')
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if main_det[0][len(colnames) - cr - 1]:
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for d in range(len(colnames) - cr):
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r.append(flt(main_det[0][d]))
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out.append(r)
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if group_by:
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flag = 1
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# check for root nodes
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if based_on in ['Item Group','Customer Group','Territory']:
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is_grp = sql("select is_group from `tab%s` where name = '%s'" % (based_on, cstr(r[col_idx[based_on]]).strip()))
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is_grp = is_grp and cstr(is_grp[0][0]) or ''
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if is_grp != 'No':
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flag = 0
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if flag == 1:
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det = [x[0] for x in sql("SELECT DISTINCT %s FROM %s where %s" % (sel_col, add_tab, add_cond % {'value':cstr(r[col_idx[based_on]]).strip()}))]
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if flag == 1:
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det = [x[0] for x in sql("SELECT DISTINCT %s FROM %s where %s" % (sel_col, add_tab, add_cond % {'value':cstr(r[col_idx[based_on]]).strip()}))]
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for des in range(len(det)):
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t_row = ['' for i in range(len(colnames))]
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t_row[col_idx[group_by]] = cstr(det[des])
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gr_det = sql("SELECT %s FROM %s WHERE %s = '%s' and %s" % (query_val, add_tab, sel_col, cstr(det[des]), add_cond % {'value':cstr(r[col_idx[based_on]]).strip()}))
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for d in range(len(col_names)):
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t_row[col_idx[col_names[d]]] = flt(gr_det[0][d])
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out.append(t_row)
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for des in range(len(det)):
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t_row = ['' for i in range(len(colnames))]
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t_row[col_idx[group_by]] = cstr(det[des])
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gr_det = sql("SELECT %s FROM %s WHERE %s = '%s' and %s" % (query_val, add_tab, sel_col, cstr(det[des]), add_cond % {'value':cstr(r[col_idx[based_on]]).strip()}))
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for d in range(len(col_names)):
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t_row[col_idx[col_names[d]]] = flt(gr_det[0][d])
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out.append(t_row)
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